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EWCBR
2004
Springer
15 years 6 months ago
2004
Springer
Because of the volume of spam email and its evolving nature, any deployed Machine Learning-based spam filtering system will need to have procedures for case-base maintenance. Key t...
95
Voted
SODA
2008
ACM
15 years 2 months ago
2008
ACM
The Fast Johnson-Lindenstrauss Transform (FJLT) was recently discovered by Ailon and Chazelle as a novel technique for performing fast dimension reduction with small distortion fr...
112
Voted
PAKDD
2010
ACM
14 years 10 months ago
2010
ACM
Data mining tasks results are usually improved by reducing the dimensionality of data. This improvement however is achieved harder in the case that data lay on a non linear manifol...
SCIA
2009
Springer
15 years 7 months ago
2009
Springer
This paper introduces a novel method for noise reduction in medical images based on concepts of the Non-Local Means algorithm. The main objective has been to develop a method that ...
115
Voted
SDM
2007
SIAM
15 years 2 months ago
2007
SIAM
Dimensionality reduction is among the keys in mining highdimensional data. This paper studies semi-supervised dimensionality reduction. In this setting, besides abundant unlabeled...